Triple
T4592620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuriko Kikuchi |
E103530
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 菊地凛子 |
E15853
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 菊地凛子 | Statement: [Yuriko Kikuchi, nativeName, 菊地凛子]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 菊地凛子 Context triple: [Yuriko Kikuchi, nativeName, 菊地凛子]
-
A.
岸田裕子
岸田裕子 is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, known for her diplomatic and cultural engagements at home and abroad.
-
B.
Rinko Kikuchi
chosen
Rinko Kikuchi is a Japanese actress acclaimed for her roles in international films such as "Babel" and "Pacific Rim," and for being one of the few Japanese actresses nominated for an Academy Award.
-
C.
Sonoya Mizuno
Sonoya Mizuno is a Japanese-British actress, model, and dancer known for her roles in films like Ex Machina, Annihilation, and Crazy Rich Asians, as well as the series Devs.
-
D.
井上 成美
井上成美は、第二次世界大戦期に連合艦隊司令長官などを務めた日本海軍の軍人であり、戦後は平和主義的な言動でも知られた人物である。
-
E.
Yoshiko Morita
Yoshiko Morita is best known as the wife of Akio Morita, the co-founder of Sony Corporation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592520ec8190b1bd4cb4d9b94c94 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0d553f08190a56020e1bf8f700d |
completed | March 21, 2026, 12:05 a.m. |
Created at: March 20, 2026, 1:11 p.m.